Nowadays, data-parallel applications, which include scientific and engineering, multimedia, network, security, etc., are growing in importance and demanding increased performance from hardware. On the other hand, the exponential growth in the fabrication technology and the continuous improvements in transistor density have allowed tens of billions of transistors to be integrated onto one single chip. Thus, this book proposes three microarchitectures for matrix processors architectures that exploit this huge number of transistors to improve the performance of data-parallel applications: simple matrix processor (SMP), simple super-matrix processor (SSMP), and multithreaded simple super-matrix processor (ThrSSMP). In addition, this book explains in details the implementation of our proposed designs for SMP, SSMP, and ThrSSMP using VHDL targeting FPGA Virtex-6, XC6VLX550T-2FF1760 device. Moreover, the performances of SMP/SSMP/ThrSSMP are evaluated on some vector/matrix kernels from basic linear algebra subprograms(BLAS).
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Nowadays, data-parallel applications, which include scientific and engineering, multimedia, network, security, etc., are growing in importance and demanding increased performance from hardware. On the other hand, the exponential growth in the fabrication technology and the continuous improvements in transistor density have allowed tens of billions of transistors to be integrated onto one single chip. Thus, this book proposes three microarchitectures for matrix processors architectures that exploit this huge number of transistors to improve the performance of data-parallel applications: simple matrix processor (SMP), simple super-matrix processor (SSMP), and multithreaded simple super-matrix processor (ThrSSMP). In addition, this book explains in details the implementation of our proposed designs for SMP, SSMP, and ThrSSMP using VHDL targeting FPGA Virtex-6, XC6VLX550T-2FF1760 device. Moreover, the performances of SMP/SSMP/ThrSSMP are evaluated on some vector/matrix kernels from basic linear algebra subprograms(BLAS).
Elsayed A. Elsayed is an assistant lecturer at Faculty of Engineering, Aswan University, Egypt. He received his master degree in Computer Science and Engineering in 2014. He is interested in computer architecture, parallel processing, vector/matrix processing, multi/many-core, and VHDL/FPGA implementations.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays, data-parallel applications, which include scientific and engineering, multimedia, network, security, etc., are growing in importance and demanding increased performance from hardware. On the other hand, the exponential growth in the fabrication technology and the continuous improvements in transistor density have allowed tens of billions of transistors to be integrated onto one single chip. Thus, this book proposes three microarchitectures for matrix processors architectures that exploit this huge number of transistors to improve the performance of data-parallel applications: simple matrix processor (SMP), simple super-matrix processor (SSMP), and multithreaded simple super-matrix processor (ThrSSMP). In addition, this book explains in details the implementation of our proposed designs for SMP, SSMP, and ThrSSMP using VHDL targeting FPGA Virtex-6, XC6VLX550T-2FF1760 device. Moreover, the performances of SMP/SSMP/ThrSSMP are evaluated on some vector/matrix kernels from basic linear algebra subprograms(BLAS). 224 pp. Englisch. N° de réf. du vendeur 9783659832260
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Elsayed ElsayedElsayed A. Elsayed is an assistant lecturer at Faculty of Engineering, Aswan University, Egypt. He received his master degree in Computer Science and Engineering in 2014. He is interested in computer architecture, para. N° de réf. du vendeur 158877094
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Taschenbuch. Etat : Neu. Simple Processors for Executing Scalar/Vector/ Matrix Instructions | Design, Implementation, and Performance Evaluation | Elsayed Elsayed (u. a.) | Taschenbuch | 224 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659832260 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 103942908
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays, data-parallel applications, which include scientific and engineering, multimedia, network, security, etc., are growing in importance and demanding increased performance from hardware. On the other hand, the exponential growth in the fabrication technology and the continuous improvements in transistor density have allowed tens of billions of transistors to be integrated onto one single chip. Thus, this book proposes three microarchitectures for matrix processors architectures that exploit this huge number of transistors to improve the performance of data-parallel applications: simple matrix processor (SMP), simple super-matrix processor (SSMP), and multithreaded simple super-matrix processor (ThrSSMP). In addition, this book explains in details the implementation of our proposed designs for SMP, SSMP, and ThrSSMP using VHDL targeting FPGA Virtex-6, XC6VLX550T-2FF1760 device. Moreover, the performances of SMP/SSMP/ThrSSMP are evaluated on some vector/matrix kernels from basic linear algebra subprograms(BLAS).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 224 pp. Englisch. N° de réf. du vendeur 9783659832260
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, data-parallel applications, which include scientific and engineering, multimedia, network, security, etc., are growing in importance and demanding increased performance from hardware. On the other hand, the exponential growth in the fabrication technology and the continuous improvements in transistor density have allowed tens of billions of transistors to be integrated onto one single chip. Thus, this book proposes three microarchitectures for matrix processors architectures that exploit this huge number of transistors to improve the performance of data-parallel applications: simple matrix processor (SMP), simple super-matrix processor (SSMP), and multithreaded simple super-matrix processor (ThrSSMP). In addition, this book explains in details the implementation of our proposed designs for SMP, SSMP, and ThrSSMP using VHDL targeting FPGA Virtex-6, XC6VLX550T-2FF1760 device. Moreover, the performances of SMP/SSMP/ThrSSMP are evaluated on some vector/matrix kernels from basic linear algebra subprograms(BLAS). N° de réf. du vendeur 9783659832260
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